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Machine Learning Engineer Apprenticeship Jobs in Seattle, WA

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Sr. Machine Learning Engineer - AI

Seattle, WA · On-site

$157.44 - $236.20/hr

As a Machine Learning Engineer specializing in knowledge graphs, you will work closely with cross-functional teams to design, implement, and optimize algorithms and models that enable efficient ...

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

PitchBook, a Morningstar company, is seeking a Senior Machine Learning Engineer to join their Product and Engineering team. The role involves delivering AI-powered features that extract insights from ...

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

Machine Learning Engineer

Seattle, WA · On-site

$120 - $190/hr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...

Showing results 41-60

Machine Learning Engineer Apprenticeship information

See Seattle, WA salary details

$34.7K

$78.1K

$131.4K

How much do machine learning engineer apprenticeship jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer apprenticeship in Seattle, WA is $78,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $84,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.

What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Seattle, WA?

For Machine Learning Engineer Apprenticeship jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Apprenticeship jobs in Seattle, WA look for?

The top searched job categories for Machine Learning Engineer Apprenticeship jobs in Seattle, WA are:

Infographic showing various Machine Learning Engineer Apprenticeship job openings in Seattle, WA as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $78,088 per year, or $37.5 per hour.

Staff Machine Learning Engineer

Remitly

Seattle, WA • On-site

$208K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Job Description:

At Remitly, we are on a mission to transform lives by providing trusted financial services that transcend borders. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.

About the Role:

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning systems, frameworks, and services that power Remitly's next generation of products and operations. We work horizontally across domains at Remitly-Global Money Movement, Treasury, Identity & Trust, Promotions, Referrals, etc.

We are looking for an experienced Machine Learning Engineer to build large scale systems that propel our next phase of growth.

You Will:

  • Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online evaluation and model deployment.
  • Design, build, and scale feature pipelines for batch and real-time ML applications.
  • Partner with data scientists, product owners, and engineers across verticals to turn prototypes into reliable, customer-facing ML systems.
  • Optimize models and pipelines using MLOps best practices: automated retraining, drift detection, CI/CD, monitoring, observability.
  • Mentor and lead other engineers: champion design reviews, technical discussions, and maintain a high bar for code quality.
  • Drive technical strategy and influence ML architecture decisions across the organization.

You Have:

  • Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.
  • 10+ years delivering Machine Learning systems in production.
  • Strong programming skills in Python, Go, Scala or a similar language.
  • Hands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, numpy).
  • Experience working with major cloud platforms (AWS, GCP, or Azure).
  • Experience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.
  • Experience with transformer architectures, pretraining, post-training, and fine-tuning of LLMs would be strongly preferred.
  • Demonstrated experience leading cross-functional ML initiatives and mentoring senior engineers.

Compensation Details. The starting base salary range for this position is typically $208,000-$260,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits:

  • Flexible paid time off
  • Health, dental, and vision + 401k plan with company matching
  • Paid parental, medical, military and family care leave
  • Mental Health & Family Forming Benefits
  • Employee Stock Purchase Plan (ESPP)
  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.